Integration-first AI systems

SMBs waste £50K+ on AI projects that go nowhere.

We design, build, and ship AI systems in 4–6 weeks – plugged straight into the tools and workflows you already trust.

No lab experiments. No platform migrations. Just systems that genuinely slot into your workflow and make day-to-day work lighter.

Live in 4–6 weeks Tool-agnostic · GCP, Sheets, CRMs, custom stacks

What you actually get with Nativly

  • A working AI system in 4–6 weeks.
  • Built directly into your existing tools and workflows.
  • Clarity on what will actually work inside your systems — not more noise.
Led by Razvan Burlacu & YJ Chen – 20+ years integrating new technology into existing systems — combining commercial strategy with hands-on delivery.

Why most AI projects never make it to production

You’re not the only one. Most SMBs burn budget on proofs-of-concept that never turn into working systems.

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Enterprise consultancies, enterprise pricing

Big firms want £200K+ and 6 months before you see anything real. By the time a slide deck lands, your team has moved on.

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No clear “first move”

You know AI matters, but it’s not obvious where to start, how to scope it, or how to tell if it’s actually working.

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Tools that sit outside the work

Standalone dashboards and ChatGPT links don’t change behaviour. If it doesn’t live in your CRM, Sheets, or ops tools, it won’t be used.

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Too much noise and not enough actual expertise

The AI space is crowded with “consultants” who can talk about AI but can’t ship systems. Most advice sounds promising but doesn’t survive contact with your actual tools, data, or constraints. You need clarity, not more noise.

Who we’re a good fit for

We work with teams who don’t have time for experiments – they need working systems plugged into real revenue and operations.

Owner & leadership
Founders & MDs who want AI that pays for itself

You’re responsible for the P&L and don’t care about hype. You need practical systems that lighten the load, reduce friction, and actually get used.

Typical outcome: first system live in 4–6 weeks
Ops & data
Operations leads and overstretched CTOs

Your backlog is full and the team is small. You need a partner who can design, build, and own a scoped AI system end-to-end.

We plug into your stack, not replace it
Investors & portfolio
Investment firms with complex portfolios

You need live visibility across brands, markets, and operators – without forcing everyone onto one tool. We build data and AI layers around what’s already there.

From spreadsheets to live portfolio intelligence

How we work together

Three stages. Clear scope. Concrete deliverables. You always know what’s coming next.

1

Map

We map your workflows, tools, and constraints, then identify 2–3 opportunities that will genuinely work inside your real systems — not just sound interesting. You leave with a complete system map showing the architecture, integrations, data flows, and a clear build roadmap you can use with us or your own team.

1 week · remote sessions
2

Pilot

Using the system map from Step 1, we design and ship the first working version of your system — either alongside your team or independently. This is a scoped, integration-ready build based directly on the architecture we defined together.

4–6 weeks · fixed scope
3

Scale

Once the mapped system is live, we focus on ongoing wins inside your existing infrastructure — strengthening what’s working, rolling out to more teams, and adding new use-cases that naturally fit your stack.

Ongoing · only if it earns its keep

Systems we’ve actually shipped

Not just prototypes — practical systems built around real constraints and real teams.

Case study · Retail

UK Market GTM Readiness AI

An AI GTM engine that scores a retail brand’s UK launch readiness and shows exactly what to fix first.

Pitch deck Web scrape UK GTM

Key capabilities

  • Ingests pitch deck and website to understand the offer automatically.
  • Scores positioning, ICP fit, and category risk for the UK retail market.
  • Outputs a clear, prioritized GTM action list for immediate execution.
Case study · Professional services

Trust & Footprint Intelligence System

A trust platform that turns a consultant’s full internet footprint into an evidence-based Trust Index.

RAG Footprint Profiles

Key capabilities

  • Ingests websites, portfolios, and documents from across the public web.
  • Uses RAG and structured signals to score delivery risk and credibility.
  • Generates clean, comparable consultant profiles ready for matching.
Case study · Investment firm

Cross-vertical GCP data platform

A cloud data platform that gives a Vietnam-based investment firm one live view across all portfolio companies.

BigQuery dbt Metabase Chatbot

Key capabilities

  • Migrates fragmented on-prem data into BigQuery with dbt modelling.
  • Surfaces portfolio health via Metabase “vision board” dashboards.
  • Natural-language chatbot lets the team query everything instantly.

Who you’ll work with

Senior hands-on operators, not a rotating cast of juniors.

YJ

Commercial & strategy

YJ Chen

Commercial & Strategy Lead

15+ years across retail, immersive tech, and market expansion. Cross-cultural operator and advisor to multi-market ventures. MIT AI Executive Programme and London Business School MBA. Master’s in Industrial and Operations Engineering from the University of Michigan Ann Arbor.

RB

Systems & delivery

Razvan Burlacu

Technical Lead

10+ years leading engineering across immersive tech, AI-powered SaaS, and real-time systems. Technical consultant for startups and SMEs, known for rapidly delivering production-ready MVPs and workflow-integrated tools. Specialised in system architecture, infrastructure, and building practical, implementation-focused solutions that fit inside existing environments.

Common questions

A quick sense-check before you book a call.

What happens on the first call?
We’ll map 2–3 concrete opportunities where AI can help, based on your current tools and workflows. No homework required – you bring context, we’ll bring structure.


What if we’re not “ready” for AI?
Most teams feel that way. As long as you have some digital workflows (Sheets, CRMs, ERPs, dashboards), there’s usually a sensible starting point.

A scoped AI system, wired into your tools, plus a short enablement session for your team. You keep the system and documentation, regardless of whether we continue together.
No. We’re stack-agnostic. Recent work includes GCP (BigQuery, dbt, Metabase), custom web apps, as well as stacks built around Google Sheets, Notion, and CRMs. The right stack is the one your team will actually use.
We work within your existing security model: VPNs, SSO, service accounts and principle of least privilege. We agree access levels up-front and can work with your IT or security partner where needed.
We sometimes run strategy and architecture engagements, but our bias is towards systems that ship. If you’re not ready for a build, we can design a roadmap that your internal or existing partners can execute.

Ready to explore a real use-case?

In 30 minutes we’ll shortlist 2–3 sensible AI opportunities for your business – and tell you honestly if now isn’t the right time.

Book the 30-minute AI opportunity call →